User, Metric, and Computational Evaluation of Foveated Rendering Methods


Nicholas Swafford (Disney Research Zurich)
Jose A. Iglesias-Guitian (Disney Research Zurich)
Charalampos Koniaris (Disney Research Zurich)
Bochang Moon (Disney Research Zurich)
Kenny Mitchell (Disney Research Los Angeles)
Darren Coskery (University of Bath)

ACM Symposium on Applied Perception 2016

July 22, 2016

User, Metric, and Computational Evaluation of Foveated Rendering Methods-Image

Perceptually lossless foveated rendering methods exploit human perception by selectively rendering at different quality levels based on eye gaze (at a lower computational cost) while still maintaining the user’s perception of a full quality render. We consider three foveated rendering methods and propose practical rules of thumb for each method to achieve significant performance gains in real-time rendering frameworks. Additionally, we contribute a new metric for perceptual foveated rendering quality building on HDR-VDP2 that, unlike traditional metrics, considers the loss of fidelity in peripheral vision by lowering the contrast sensitivity of the model with visual eccentricity based on the Cortical Magnification Factor (CMF). The new metric is parameterized on user-test data generated in this study. Finally, we run our metric on a novel foveated rendering method for real-time immersive 360 content with motion parallax.

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